Objectives and Research Topics/Areas
Topics include, but are not limited to:
1. Privacy and Data Sharing: investigating the challenges of maximizing data usability while safeguarding patient privacy in healthcare data/EHR analytics, precision medicine, and data integration
2. Trustworthy AI systems: examining the potential impacts of emerging AI models in biomedical applications, such as privacy risks and predictive bias; applications of AI in healthcare
3. Decentralized Data Analysis: exploring emerging techniques for leveraging data across multiple sites including but not limited to blockchain-based technology, federated learning and swarm learning
4. Health Data Analysis Infrastructure: including but not limited to methodologies and tools, visualization analytics, health management/repositories, and real-world case studies
Paper submission instructions
This workshop will only accept papers that have not been previously published. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines ( Click here).
Accepted paper formats (references are counted within the page limits):
- Abstract (up to 2 pages)
- Short paper (up to 6 pages)
- Regular paper (up to 10 pages)
Please click here to Submit your paper!
Accepted papers will be published in the IEEE ICHI 2024 proceedings (on IEEE Xplore – Indexed on Scopus and many other platforms). For further information, please see IEEE ICHI 2024 web page @ https://ieeeichi2024.github.io/.
Review procedure
All submitted papers will be reviewed by 3 international program committees. The reviewing process will be single-blind.
Important Dates
- Deadline for full paper submissions:
March 1st, 2024March 21st, 2024 - Notification of workshop paper acceptance:
March 21th, 2024April 12th, 2024 - Camera ready workshop paper due:
March 30th, 2024April 21st, 2024 - Workshop Day (firm): June 3, 2024
Workshop Organizers
General Chairs
Matteo Mantovani, Ph.D. Department of Computer Science, University of Verona, Italy matteo.mantovani@univr.it |
|
Luca Bonomi, Ph.D. Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA luca.bonomi@vumc.org |
Technical Program Committee
Name | Position | Affiliation |
---|---|---|
Matteo Mantovani | Assistant Professor | Department of Computer Science, University of Verona, Italy |
Luca Bonomi | Assistant Professor | Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA |
Xiaoqian Jiang | Professor | School of Biomedical Informatics, UTHealth, TX, USA |
Alex MH Kuo | Professor | School of Health Information Science, University of Victoria, BC, Canada |
Damiano Carra | Professor | Department of Computer Science, University of Verona, Italy |
Eliana Pastor | Assistant Professor | Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy. |
Liyue Fan | Assistant Professor | College of Computing and Informatics, University of North Carolina at Charlotte, NC, USA |
Tsung-Ting Kuo | Assistant Professor | Department of Biomedical Informatics, University of California at San Diego, CA, USA |
Gamze Gürsoy | Assistant Professor | Department of Biomedical Informatics, Columbia University, NY, USA |
Beatrice Amico | Postdoc | Department of Computer Science, University of Verona, Italy |
Chao Yan | Postdoc | Department of Biomedical Informatics, Vanderbilt University Medical Center (VUMC), TN, USA |
Program (Draft)
Time slot | Activity | ||
---|---|---|---|
1:00 pm – 1:10 pm |
Welcome from the Workshop Chairs | ||
1:10 pm – 2:10 pm |
Keynote by Prof. Jiang Bian, PhD - "Real-world data, real-world problems, and real-world opportunities with AI" | ||
Paper ID | Authors | Title | |
2:10 pm – 2:30 pm |
196 | Lalitha Donga, Shreya Pramod, Sumita Mishra and Rajendra K. Raj | A Proactive Digital Chain of Custody for Internet of Healthcare Things (IoHT) Data |
2:30 pm – 2:50 pm |
Coffee Break @ Event/Exhibition Space | ||
2:50 pm – 3:10 pm |
193 | Priyanka Gupta, Arunachala Amuda Murugan, Deep Chordia, Pavan Kumar Reddy Yannam and Manik Gupta | A Comparative Study of Few-Shot Learning Methods for 1-D ECG Time-series Classification |
3:10 pm – 3:30 pm |
216 | Syauki A. Thamrin and Arbee L.P. Chen | Detection of Bipolar Disorder on Social Media Data Utilizing Biomedical, Clinical and Mental Health Domain Fine-Tuned Word Embeddings |
3:30 pm – 3:50 pm |
219 | Riccardo Scheda, Matteo Mantovani, Carlo Combi and Stefano Diciotti | A key performance indicator to analyze swarm learning performances with EHR |
3:50 pm – 4:10 pm |
209 | Anuradha Mahato, Prateek Sarangi, Vinod Kurmi, Abhirup Banerjee, Abhishek Goyal and Tanmay Basu | Uncertainty Quantification in Deep Learning Framework for Mallampati Classification |
4:10 pm – 4:30 pm |
225 | Oshani Seneviratne | Decentralized, Explainable, and Personalized Mental Health Monitoring |